Philosophy

A company LLM should feel installed — not like an AI research project you never finish.

Most products compete on which model sounds smarter. We care about something quieter: whether a business without a strong IT/AI team can actually run private AI on its own server, and whether the whole office can use it.

We carry the complexity

Easy setup on servers means we size the box, install runtime and model, harden local-only defaults, and leave a restart card. The customer should feel “product installed,” not “MLOps started.”

One LLM · many people

Distribution is not dozens of personal installs. It is one approved local model serving many chats through a simple office UI — secretaries, shift leads, engineers — no prompt engineer required.

Workflows stay on site

Workflow integration is where work gets serious: boards with local parts and scripts that run, still talking to that same site LLM. Templates first. Custom engineering later — only if needed.

Honesty over theater

A “private chat” toggle that still ships binders to a vendor cloud is costume jewelry. Real privacy is inference on your LAN by default. Cloud appears when you invite it — never as the only door.

Why pay

You are not buying another chatbot seat. You are buying a working private LLM, office access, and a path to workflow integration — so thin IT is never alone, and you never had to become an AI company to get there.

DIY burns months of your 1–5 people (€18k–€36k+ in labor if it finishes). Agencies sell custom projects (€25k–€60k). We sell a product install in a tighter range — see the math on Business.

νοῦς · λόγος · ἔλεγχος
mind · reason · examination